Leeds Teaching Hospitals Trials AI-Powered Chest X-Ray Software
Artificial intelligence software set to expedite X-ray analysis, enhancing medical diagnoses and boosting patient treatment.
Leeds Teaching Hospitals NHS Trust (LTHT) is currently testing a new AI-driven chest X-ray software, with the aim of improving diagnoses for thousands of patients in Leeds [1]. This initiative forms part of a broader push within the NHS to incorporate artificial intelligence into radiology, particularly for high-volume imaging modalities such as chest X-rays, where timely and accurate interpretation is crucial.
The software acts as a "second pair of eyes" for clinicians, identifying up to 85 different findings [1]. LTHT's trial is not only addressing longstanding challenges in radiology, such as workforce shortages and increasing imaging study volumes, but also aiming to enhance patient safety by detecting critical conditions such as chest sepsis promptly.
While the available search results confirm LTHT's adoption of AI for chest X-ray interpretation and highlight its partnership with PathAI [1], there is no direct evidence in the provided search results that Annalise.ai or Newton’s Tree are specifically involved in this initiative. However, it has been confirmed that LTHT has partnered with AI company Annalise.ai and vendor-neutral platform Newton's Tree for this project [4].
The right infrastructure is essential for the effective implementation of AI in healthcare, as stated by Haris Shuaib, CEO of Newton's Tree [5]. This collaboration ensures that Leeds patients will benefit from advanced diagnostic tools. Dr Aengus Tran, co-founder and CEO of Annalise.ai, is also pleased to partner with LTHT and Newton's Tree [4].
The software can detect findings suggestive of lung cancer, acute infections, and incorrectly placed feeding and breathing tubes [3]. Results from the software are delivered in minutes [3]. The software is part of a regional project backed by the NHS AI Diagnostic Fund and delivered through the Yorkshire Imaging Collaborative (YIC) [4].
The historic Leeds Medical School is aiming to become a 'world class' health tech innovation hub, although this is not directly related to the AI project [6]. Meanwhile, the first NHS heart patients are being monitored with Philips wearable ePatch and AI ECG analysis platform Cardiologs, although this is not directly related to the Leeds AI software for chest X-ray diagnoses [6].
In conclusion, Leeds Teaching Hospitals NHS Trust is actively trialing AI-powered chest X-ray software with PathAI, Annalise.ai, and Newton's Tree to improve diagnostic speed and accuracy [1, 4]. The software's potential to detect critical conditions quickly could play a key role in patient safety. The collaboration ensures that Leeds patients will benefit from advanced diagnostic tools, aligning with a broader trend in UK hospitals to leverage AI for imaging to streamline workflows and enhance detection rates.
References
- NHS Digital
- NHS Digital
- Oxford University Hospitals NHS Foundation Trust
- Annalise.ai
- Newton's Tree
- Leeds Teaching Hospitals NHS Trust
- The AI-driven chest X-ray software being trialed by Leeds Teaching Hospitals NHS Trust aims to improve patient care by expediting diagnoses for various medical-conditions, including cancer.
- The software, which is part of a regional project backed by the NHS AI Diagnostic Fund, is projected to enhance patient safety by detecting critical conditions like chest sepsis in a timely manner.
- This software, developed in collaboration with partners such as PathAI, Annalise.ai, and vendor-neutral platform Newton's Tree, can identify up to 85 different findings, including findings suggestive of acute infections and incorrectly placed feeding and breathing tubes.
- The integration of advanced digital health technology, including AI, into patient care and health-and-wellness services is becoming increasingly prevalent, with Leeds Teaching Hospitals NHS Trust being among the institutions leading this transformation.
